Technology

Orbis International physician spotlights the latest trends for cataract surgery training.

Kaushal Solanki, PhD, discusses how ophthalmologists can now use the Topcon NW400 retinal camera with its EyeArt AI system to automatically detect diabetic retinopathy.

Researchers are involved in the development of Eye2Gene, an AI system capable of identifying the genetic cause of IRDs from retinal scans.

Scientists hope to develop of novel AI solutions for the prediction of DPN using corneal OCT images.

IIT Kanpur licensed the technology to Reliance Life Sciences Pvt. Ltd. and this marks the first time a gene therapy related technology has been developed and transferred from an academic institution to a company in India.

According to the company, its latest laser recently received FDA clearance and CE mark approval.

Debate continues over the best way to apply the treatment option.

The scanning laser features a wireless user interface, no external fiber and utilizes MEMS technology.

Anthony Wallace, Vice President and General Manager of the US Surgical Business at Bausch + Lomb, discussed the introduction of SeeLuma, a fully digital surgical visualization platform, and more at the 2023 ASCRS annual meeting in San Diego.

Alvin Liu, MD, sat down with Sheryl Stevenson, Group Editorial Director, Ophthalmology Times®, to discuss his presentation on deep learning and 3D OCT at the ASCRS annual meeting in San Diego.

Mark Packer, MD, sat down with Sheryl Stevenson, Group Editorial Director, Ophthalmology Times®, to discuss his presentation on machine learning and predicting vision outcomes after cataract surgery at the ASCRS annual meeting in San Diego.

The laser and scanner are completely integrated into a single delivery device that attaches to compatible slit lamps.

Ophthalmology Times® talked with Kaushal Solanki, PhD, CEO and founder of Eyenuk, about EyeArt, an AI system cleared by the FDA to detect diabetic retinopathy at this year's ARVO meeting.

Ophthalmology Times® talked with T. Y. Alvin Liu, MD, about predictive AI and its uses in ophthalmology and screening of the eyes at this year's ARVO meeting.

According to the companies, Boehringer Ingelheim will use RetinAI’s tools to develop treatments for GA, applying the company’s artificial intelligence tools to its imaging data in a search for novel biomarkers and predictors of disease progression.

The Iridex PASCAL combines industry-leading speed and precision pattern scanning, Endpoint Management Technology, Pattern Scanning Laser Trabeculoplasty, and now, MicroPulse Technology, in an integrated laser platform using half the footprint of its predecessor.

Physicians are using the procedure to treat various stages of the disease.

According to the company, the outcomes reported demonstrate a favorable safety profile for its novel, noninvasive glaucoma treatment.

AVA-Net is a deep-learning network developed by scientists from the University of Illinois at Chicago.

The Centre for Ocular Research and Education is demonstrating its latest discoveries for eye applications at the Association for Research in Vision and Ophthalmology’s annual meeting in New Orleans.

As technology advances, innovations increase physician capabilities.

The technology could prove to be the foundation for establishing a new biomarker of ocular diseases.

SeeLuma is a “Fully Digital Surgical Visualization Platform” to assist ophthalmic surgeons.

SMSGOP and SMGOP are two models of artificial intelligence that can predict progression of Graves’ orbitopathy.

Technology offers accessibility, scalability to countries where care is needed the most.

Evolving technology is resulting in better outcomes for patients.

Nitish Mehta, MD discusses the latest trends in Artificial Intelligence and Machine Learning technology in retinal imaging and its uses for ophthalmologists.

Physician discusses preoperative assessments before procedure focusing on cornea.

The new laser will allow surgeons to perform refractive correction on patients with myopia, with or without astigmatism using the SILK Procedure.

Artificial intelligence (AI) with ultra-widefield fundus autofluorescence images may be helpful to objectively estimate progression of retinitis pigmentosa (RP) and visual function.